We are looking for a hands-on AI / LLM Engineer to help design and build practical AI-driven solutions within an existing GCP environment. This role will focus on developing real-world use cases using LLMs, RAG architectures, and agentic workflows to enhance internal tools, automation, and data-driven applications.

Must Haves: 
  • Experience with AI/ML and LLMs (OpenAI, Vertex AI, or similar)
  • Hands-on experience with RAG (Retrieval-Augmented Generation)
  • Strong experience with Google Cloud Platform (BigQuery, Dataflow, Vertex AI preferred)
  • Experience with AI orchestration tools (LangChain, LlamaIndex, or similar)
  • Proficiency in Python (preferred) or backend development
  • Experience with APIs and integrating AI into applications
Nice to Have:
  • Experience building agent-based or multi-step AI workflows
  • Familiarity with vector databases (Pinecone, Weaviate, Vertex AI Vector Search)
  • Background in backend development (Java/Spring Boot)
  • Experience working in data engineering environments
Key Responsibilities:
  • Design and build AI/LLM-based solutions, including RAG pipelines
  • Develop and prototype agentic AI workflows for automation and decisioning
  • Integrate LLM solutions with existing GCP data platforms (BigQuery, Dataflow)
  • Work with structured and unstructured data to enable intelligent retrieval and insights
  • Create, test, and optimize prompt engineering strategies
  • Collaborate with backend and data engineering teams to embed AI capabilities into applications
Apply Back to Results

Apply Now

Please ensure all fields have been filled.

Your Information

Share your resume*

Please note only files with .pdf, .docx or .doc file extensions are accepted.

Max file size: 512KB.

Please attach your resume, ensure it is in the correct format and smaller than 512KB.

×